Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Tan, Chao"'
Publikováno v:
Environmental Science and Pollution Research. 30:23568-23577
To address the issue of global warming, the agreed solution is to reduce GHG emissions. The plausible solution to reduce GHG emissions is to follow a green growth strategy that refers to the complete decoupling of economic growth from its environment
Publikováno v:
Environmental Science and Pollution Research. 30:12944-12952
Renewable energy is considered vital to addressing the issue of climate change and energy poverty. In recent times, empirics have tried to find the determinants of renewable energy consumption. Hence, the primary focus of the analysis is to estimate
Within linear response theory, the absorptive part of optical conductivities are analytically calculated for distinct tilts in two-dimensional (2D) tilted semi-Dirac bands (TSDBs). The transverse optical conductivities always vanish $\mathrm{Re}\sigm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4381496a62721969a069f2244ca1c305
Autor:
Gu, Jia-Chen, Tan, Chao-Hong, Chu, Caiyuan, Ling, Zhen-Hua, Tao, Chongyang, Liu, Quan, Liu, Cong, Hu, Guoping
Modeling multi-party conversations (MPCs) with graph neural networks has been proven effective at capturing complicated and graphical information flows. However, existing methods rely heavily on the necessary addressee labels and can only be applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e4164bbe5224ff1e4d033e90b296896
We introduce a novel method, called Dispersion Entropy for Graph Signals, $DE_G$, as a powerful tool for analysing the irregularity of signals defined on graphs. We demonstrate the effectiveness of $DE_G$ in detecting changes in the dynamics of signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::921bdb6e7d7f71f5f93d34b2d2380d25
Autor:
Tan, Chao Dun, Hähner, Georg, Fitzer, Susan, Cole, Catherine, Finch, Adrian A., Hintz, Chris, Hintz, Ken, Allison, Nicola
Raw data for figures 3, 7 and 8. r2 between adhesion and either sample height or roughness in Figures 5 and 6. Images of sample indents.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15d6ed6eeaacfa1d7df987ecc2fd250d
Autor:
Hou, Jian-Tong, Yan, Chang-Xu, Tan, Chao-Yang, Li, Zhi-Qiang, Wang, Peng, Guo, Hong, Chang, Hao-Ran
We report a unified theory based on linear response, for analyzing the longitudinal optical conductivity (LOC) of materials with tilted Dirac cones. Depending on the tilt parameter $t$, the Dirac electrons have four phases, untilted, type-I, type-II,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::811a69bfd77d563597af4cd840f2dd19
http://arxiv.org/abs/2210.10410
http://arxiv.org/abs/2210.10410
Using a graph-based approach, we propose a multiscale permutation entropy to explore the complexity of multivariate time series over multiple time scales. This multivariate multiscale permutation entropy (MPEG) incorporates the interaction between ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98b32aa5eea636dda1312203f292bb1f
http://arxiv.org/abs/2210.09030
http://arxiv.org/abs/2210.09030
Publikováno v:
Frontiers in Energy Research. 10
The annular fuel has dual-cooled surfaces internally and externally. Compared with traditional cylindrical fuel, the inner flow field is introduced on the annular fuel assembly, and wire-wrapped can influence the inner flow field. In order to researc
Publikováno v:
Fabila Carrasco, J S, Tan, C & Escudero, J 2022, Multivariate permutation entropy, a Cartesian graph product approach . in 2022 30th European Signal Processing Conference (EUSIPCO) . European Signal Processing Conference (EUSIPCO), 30th European Signal Processing Conference, Belgrade, Serbia, 29/08/22 . < https://arxiv.org/abs/2203.00550 >
Entropy metrics are nonlinear measures to quantify the complexity of time series. Among them, permutation entropy is a common metric due to its robustness and fast computation. Multivariate entropy metrics techniques are needed to analyse data consis